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A Collaborative Decision Support Tool for Managing Chronic Conditions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Nadin Kokciyan
  • Martin Chapman
  • Panagiotis Balatsoukasb
  • Isabel Sassoon
  • Kai Essers
  • Mark Ashworth
  • Vasa Curcin
  • Sanjay Modgil
  • Simon Parsons
  • Elizabeth I Sklar

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http://ebooks.iospress.nl/publication/52067
Original languageEnglish
Title of host publicationMEDINFO 2019: Health and Wellbeing e-Networks for All
EditorsLucila Ohno-Machado, Brigitte Séroussi
PublisherIOS Press
Pages644-648
Number of pages5
ISBN (Electronic)978-1-64368-003-3
ISBN (Print)978-1-64368-002-6
DOIs
Publication statusPublished - 24 Aug 2019
EventThe 17th World Congress of Medical and Health Informatics - Lyon, France
Duration: 25 Aug 201930 Aug 2019
https://www.medinfo-lyon.org/en/

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press
Volume264
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

ConferenceThe 17th World Congress of Medical and Health Informatics
Abbreviated titleMedInfo 2019
CountryFrance
CityLyon
Period25/08/1930/08/19
Internet address

Abstract

This paper describes work to assess the feasibility of using a decision support tool to help patients with chronic conditions, specifically stroke, manage their condition in collaboration with their carers and the health care professionals who are looking after them. The system contains several novel elements: the integration of data from commercial wellness sensors, electronic health records and clinical guidelines; the use of computational argumentation to track the source of data and to resolve conflicts and make recommendations; and argumentation-based dialogue to support interaction with patients. The proposed approach is implemented as an application that can run on smart devices (e.g. tablets). The users have personalised dashboards where they can visualise their health data and interact with a conversational chatbot that provides further explanations about their overall wellbeing.

    Research areas

  • Decision Support Systems, Clinical, Artificial Intelligence, User-Computer Interface

Event

The 17th World Congress of Medical and Health Informatics

25/08/1930/08/19

Lyon, France

Event: Conference

ID: 118105825